Question:

Use your knowledge in computer science to answer the following questions

The first rough draft of the human genome was reported to have been completed in May of this year.34 It is likely that a complete, high-quality human DNA reference sequence will be available by 2003. Yet the function of the vast majority of the genes in the human genome will be unknown. The minority of genes with documented function are likely to have many more functions and interactions that are unknown. Consequently, one of the primary applications of information technologies in genomics is the application of machine learning techniques to determine how genes are functionally interdependent and how these interdependencies are reflected in the biological and clinical behavior of the system in which they operate.3,35 Many of these machine learning techniques were previously applied to the task of extracting knowledge from clinical databases, and some were even developed first in the clinical domain.To be sure, the genomic era has challenged these machine learning techniques to the extreme, because of the high dimensionality of data sets (e.g., tens of thousands of measurements per experiment) and the relatively few cases and experiments from which investigators are attempting to glean knowledge.

1. Centered on knowledge acquired from pharmaceutical-biotechnology, ________ bonds in polypeptides appear between the ________ set on one section of _______________ and ________ side sets of other ________. What is the nature of the cloaked forces? What is their role?

2. According to molecular biology, the ________ configuration of a polypeptide regulates how it _______ up into a special _____________ configuration. What does it regulate?

3. Substantiate why the inference below is off beam concerning the methodology grounded on antisense RNA using data from genetic algorithm and genetic engineering.

The methodology is advisable over gene alteration since gene incapacitation can be attained holistically.

4. Capture the identity of the nuclease connected with hewing double stranded RNA? What are the yields of this mechanism? How many nucleotides are associated with then technique? What is their identity?

5. What is the identity given to the scheme of RNA incapacitation by siRNAs?

6. What is the other mechanism for gene hushing via brief RNAs?

7. Applying knowledge from genetics, rationalize the verdict that inducement siRNAs can be performed either directly or through microinjection. Identify the methodology applied and an example of the element involved.

8. What can be applied in induction into host organism that can generate an RNA when transliterated? What is the nature of the generated RNA?

9. What is the vitality of the RNA which is self-complementary?

10. Determine the sort of regulation that is achievable as a result of the capability to govern the expression f cre.

11. What binds jointly two configurations of amino acids within a n insulin fragment? Explain.

12. Determine the trio sorts of bonds applicable in preservation of the tertiary conformation of polypeptides.

Consider the following multiple regression model: y = Bo + B1X, + ...+ PKXk + U. Which of the following statements is correct? a Under Assumptions MLR.1 through MLR.4, OLS is unbiased. Under Assumptions MLR.1 through MLR.5, OLS estimators 's are the best linear unbiased Ob. estimator (BLUE) of Bj's: this is the Gauss-Markov Theorem. Oc. Assumptions MLR.1 through MLR.5 are known as the Gauss-Markov assumptions (for cross- sectional analysis). Od. All of the above.. Consider a zero-mean WSS complex Gauss-Markov process of order 1 defined by the following equation r =-ar _tv, n=0,1,.... where v ~ /(0, o') and Ela, v* ] = 0 for 1 = +1, 12, .... Multiply both sides by * and take expectation values to find Er, *]. Note that E[rv*] = Ex*v,]. Multiply both sides by r* and take expectation values to show R., [0] = -aR_ [-1] + 0) = -aR* [1]+02. This process is also known as the auto-regressive process of order 1 and is denoted by AR(1). . Now multiply both sides by e* , I = 1, 2...., and take expec- tation values to show R, [!] = -aR,, [[ - 1], 1 =1, 2. .... This result, for a Gauss-Markov process of order P, or an AR(P) process. forms the basis for high resolution spectral estimation of zero-mean WSS random signals.48 Exam Revision Questions Question #1 The offspring distribution in a Galton-Watson branching process is binomial with mean E[Y] = 1.2, and variance 0.96. (i) The Newton-Raphson method is used to solve x = [Ty(x) where IT(s) is the probability generating function for random variable Y. Show that the iterating formula is given by 0.8 - X (0.8 + 0.2x,)" - 1.2 (ii) Hence solve for the probability of ultimate extinction of the branching process, giving your answer to 4 decimal places.Question 7 Each of the probability distributions listed in the options below is the offspring distribution for a Galton- Watson branching process. Select the THREE options that give distributions for which eventual extinction of the branching process is possible but not certain. Select one or more: Poisson(1.7) D GI() O B(8, 0.125) B(6, 0.2) O Modified geometric with parameters a = 6, b = 2, c = 9 and d = 5 O Negative binomial with range {0,1,...} and parameters r = 5 and p = 0.2